3 seconds. That is how long a cold-started Heroku free-tier dyno used to take to respond before Heroku killed free dynos entirely in November 2022. Today, developers comparing these three platforms are dealing with a different set of tradeoffs: Railway’s usage-based billing, Heroku’s legacy tier structure, and DigitalOcean App Platform’s fixed monthly plans. I’ve run production workloads on all three and the cost differences are not subtle once you factor in idle time, cold start penalties, and per-seat pricing.
This article breaks down real monthly costs at three workload sizes, quantifies cold start behavior on each platform, and tells you which one I’d actually pick with my own money.
Before I compare numbers, the billing models need to be clear because they are fundamentally different.
Railway bills on actual resource consumption: CPU seconds, RAM GB-hours, and network egress. The Hobby plan costs $5/month minimum and gives you $5 in included credits. Beyond that, you pay $0.000463 per vCPU second and $0.000231 per GB-second of RAM (as of current Railway pricing). There is no charge for sleeping services, which matters enormously for cold start economics.
Heroku uses a dyno-hour model. The Eco plan costs $5/month for 1,000 dyno hours shared across all apps. Basic dynos run $7/month per dyno and never sleep. Production dynos (Standard-1X) start at $25/month and Standard-2X at $50/month. These are fixed costs regardless of actual traffic.
DigitalOcean App Platform charges per instance size per month. The cheapest paid tier is $5/month for a 512 MB / 1 vCPU instance. Basic instances scale to $12/month (1 GB RAM), $25/month (2 GB RAM), and beyond. There is a free tier for static sites only.
I use the InfraTally PaaS Calculator to run these comparisons quickly when scoping new projects. Plug in your expected requests per day and average response time and it surfaces monthly cost estimates across providers.
Cold starts happen when a container or dyno is spun up from idle to serve a request. The latency penalty is real and it affects your users directly.
Eco dynos sleep after 30 minutes of inactivity. When a request hits a sleeping dyno, I’ve measured cold start latencies of 8 to 15 seconds on a Node.js app with moderate dependencies. Python with Django and a few packages regularly hits 20+ seconds. This is not a random outlier. It’s reproducible. The Heroku documentation itself acknowledges the sleep behavior, and it’s why Eco dynos are unsuitable for anything customer-facing. Basic dynos at $7/month do not sleep, which effectively means the minimum for a production app on Heroku is $7/month per service.
Railway services also sleep on the Hobby plan after a period of inactivity. From my testing, Railway cold starts average 2 to 4 seconds for a Node.js service and 4 to 8 seconds for a Python/Django app. That is significantly faster than Heroku Eco. The container image is cached and Railway’s infrastructure spins up instances quicker than Heroku’s aging dyno architecture. If you need zero cold starts on Railway, you set RAILWAY_RUN_UID or configure a cron to ping the service, or you upgrade to a Pro plan where you can pin replicas to always-on.
DigitalOcean App Platform does not sleep paid instances. A $5/month Basic instance stays running, which means no cold starts at that tier. The free tier for static sites obviously has no cold start problem. For dynamic apps, the $5/month entry point buys you a permanently warm container. This is DigitalOcean’s clearest advantage in this comparison: predictable latency at a predictable price.
Let me run the numbers at three realistic workload levels: a side project, a small production app, and a growing startup.
| Platform | Plan | Monthly Cost | Cold Starts? |
|---|---|---|---|
| Railway | Hobby ($5 min + usage) | ~$5.00 | Yes, if idle |
| Heroku | Eco (1 shared dyno) | $5.00 | Yes, after 30 min |
| Heroku | Basic (1 dyno, no sleep) | $7.00 | No |
| DigitalOcean | Basic 512MB | $5.00 | No |
At this level, DigitalOcean App Platform wins cleanly. Five dollars per month, always-on, no cold start anxiety. Railway is also $5 at this usage level because 5,000 lightweight requests will not burn through $5 in compute credits. Heroku Eco matches the price but delivers worse cold start behavior.
| Platform | Plan | Monthly Cost | Notes |
|---|---|---|---|
| Railway | Hobby (usage-based) | $18-35 | Depends on response time |
| Railway | Pro (usage-based) | $20/seat + usage | More config control |
| Heroku | Standard-1X dyno | $25.00 | Fixed, no sleep |
| Heroku | Standard-2X dyno | $50.00 | Fixed, no sleep |
| DigitalOcean | Basic 1GB | $12.00 | Fixed, no sleep |
This is where the comparison gets interesting. Railway usage costs depend heavily on how long each request takes. A fast API averaging 50ms response times will cost far less than a data-processing endpoint averaging 2 seconds. I’ve seen Railway bills for moderate-traffic apps land anywhere from $18 to $60/month depending on workload shape. Heroku Standard-1X at $25/month is predictable but leaves you with a single 512MB dyno. DigitalOcean’s 1GB Basic instance at $12/month is genuinely hard to beat at this tier if your app fits in that resource envelope.
| Platform | Configuration | Monthly Cost |
|---|---|---|
| Railway | 5 services + Postgres (Hobby) | $60-120 estimated |
| Heroku | 5 Basic dynos + Heroku Postgres Mini | $35 + $5 = $40 minimum |
| Heroku | 5 Standard-1X + Postgres Basic | $125 + $9 = $134 |
| DigitalOcean | 5 Basic 512MB apps + Managed Postgres | $25 + $15 = $40 |
Heroku’s Postgres Mini ($5/month) is limited to 25 connections and 1GB storage. The next tier is Heroku Postgres Basic at $9/month. DigitalOcean’s managed Postgres starts at $15/month for a 1vCPU/1GB RAM cluster with 10GB storage.
Railway includes a Postgres plugin that bills on usage rather than flat rate, which can be cheaper if your database traffic is low and your data size is modest. For a startup with a few hundred MB of data and moderate query volume, Railway’s Postgres often runs $5 to $20/month. For larger databases or high connection counts, the calculus changes.
Every deployment triggers a build. On Railway, builds run in your usage quota. On Heroku, builds are included in dyno hours but slugs compile on Heroku’s build infrastructure without consuming dyno time. On DigitalOcean, builds are free and run on App Platform’s build servers.
If you are deploying 50+ times per month (common in active development), Railway’s build usage adds real cost. A typical Node.js build takes 2 to 4 minutes. At 50 deployments that is 100 to 200 minutes of build compute. Railway charges for this. Heroku and DigitalOcean do not charge separately for builds.
For CI/CD-heavy workflows, use the InfraTally CI/CD Calculator to estimate the compounding cost of frequent deploys across these platforms.
Railway has opaque billing until you’ve run a workload for a full month. The usage model rewards efficient apps and penalizes slow ones. There is no hard spend cap on the Hobby plan, only an alert system. I’ve seen teams hit unexpected $80 months because a background job ran longer than expected.
Heroku has not meaningfully invested in its infrastructure in years. The dyno architecture is old. The pricing for Standard dynos is high relative to what you get. Heroku’s value was always developer experience, and that experience has degraded. If you’re evaluating Heroku alternatives in more detail, I wrote a full breakdown at Heroku Alternatives Cost.
DigitalOcean App Platform lacks advanced features. No built-in cron jobs with complex scheduling. No first-class monorepo support. Networking between App Platform services and other DigitalOcean products (like their managed databases) works, but the developer experience is rougher than Railway’s. Resource autoscaling on App Platform requires manual intervention or a move to higher tiers.
For a new project where I am uncertain about traffic shape, I start on DigitalOcean App Platform. A $5/month always-on instance with no cold starts and predictable billing is the right starting point. I know exactly what I’m paying and the latency profile is consistent.
Once a project grows past one or two services and I need more deployment flexibility, database integration, and environment management, I move it to Railway. The developer experience is genuinely better than both Heroku and DigitalOcean, the cold start times are acceptable, and the usage pricing rewards a well-optimized app.
I would not start a new project on Heroku today. The pricing is not justified by the infrastructure quality, and the product roadmap shows no signs of closing the gap. At $25/month for a single Standard dyno, you get fewer resources than a $12 DigitalOcean App Platform instance and a slower deployment experience than Railway.
The one exception: if your team has deep Heroku operational knowledge and existing pipelines built around Heroku Review Apps, the migration cost of switching might outweigh the monthly savings. For everyone else starting fresh, Heroku is the third choice in a three-platform comparison.